Verified65% confidenceFactExact time
When running local LLMs, VRAM capacity is often more critical than computational speed, as VRAM capacity directly determines which models can be run.
3
Sources
65%
Confidence
Long-term
Relevance
7/14/2026
First Seen
Sources
千元预算搭建外置GPU跑本地LLM：eGPU选购与配置实用指南
Related Claims
Unverified本地LLM部署的可用显存基础规划模型为：可用容量 = 标称显存 × 0.9077% similarUnverifiedThe key factors determining what models can be run are memory capacity and memory speed: memory capacity determines model size, and memory speed determines the number of tokens per second.75% similarVerifiedWhen selecting hardware for local large model inference, memory capacity should be prioritized first, followed by architecture and memory bandwidth.75% similar
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